Auto-generated code for main

elasticsearch_serverless/_async/client/cat.py

@@ -208,7 +208,6 @@ async def count(
         h: t.Optional[t.Union[str, t.Sequence[str]]] = None,
         help: t.Optional[bool] = None,
         human: t.Optional[bool] = None,
-        master_timeout: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None,
         pretty: t.Optional[bool] = None,
         s: t.Optional[t.Union[str, t.Sequence[str]]] = None,
         v: t.Optional[bool] = None,
@@ -231,7 +230,6 @@ async def count(
         :param h: List of columns to appear in the response. Supports simple wildcards.
         :param help: When set to `true` will output available columns. This option can't
             be combined with any other query string option.
-        :param master_timeout: Period to wait for a connection to the master node.
         :param s: List of columns that determine how the table should be sorted. Sorting
             defaults to ascending and can be changed by setting `:asc` or `:desc` as
             a suffix to the column name.
@@ -257,8 +255,6 @@ async def count(
             __query["help"] = help
         if human is not None:
             __query["human"] = human
-        if master_timeout is not None:
-            __query["master_timeout"] = master_timeout
         if pretty is not None:
             __query["pretty"] = pretty
         if s is not None:
@@ -276,59 +272,15 @@ async def count(
         )
 
     @_rewrite_parameters()
-    async def help(
-        self,
-        *,
-        error_trace: t.Optional[bool] = None,
-        filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
-        format: t.Optional[str] = None,
-        h: t.Optional[t.Union[str, t.Sequence[str]]] = None,
-        help: t.Optional[bool] = None,
-        human: t.Optional[bool] = None,
-        master_timeout: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None,
-        pretty: t.Optional[bool] = None,
-        s: t.Optional[t.Union[str, t.Sequence[str]]] = None,
-        v: t.Optional[bool] = None,
-    ) -> TextApiResponse:
+    async def help(self) -> TextApiResponse:
         """
         Get CAT help. Returns help for the CAT APIs.
 
         `<https://www.elastic.co/guide/en/elasticsearch/reference/master/cat.html>`_
-
-        :param format: Specifies the format to return the columnar data in, can be set
-            to `text`, `json`, `cbor`, `yaml`, or `smile`.
-        :param h: List of columns to appear in the response. Supports simple wildcards.
-        :param help: When set to `true` will output available columns. This option can't
-            be combined with any other query string option.
-        :param master_timeout: Period to wait for a connection to the master node.
-        :param s: List of columns that determine how the table should be sorted. Sorting
-            defaults to ascending and can be changed by setting `:asc` or `:desc` as
-            a suffix to the column name.
-        :param v: When set to `true` will enable verbose output.
         """
         __path_parts: t.Dict[str, str] = {}
         __path = "/_cat"
         __query: t.Dict[str, t.Any] = {}
-        if error_trace is not None:
-            __query["error_trace"] = error_trace
-        if filter_path is not None:
-            __query["filter_path"] = filter_path
-        if format is not None:
-            __query["format"] = format
-        if h is not None:
-            __query["h"] = h
-        if help is not None:
-            __query["help"] = help
-        if human is not None:
-            __query["human"] = human
-        if master_timeout is not None:
-            __query["master_timeout"] = master_timeout
-        if pretty is not None:
-            __query["pretty"] = pretty
-        if s is not None:
-            __query["s"] = s
-        if v is not None:
-            __query["v"] = v
         __headers = {"accept": "text/plain"}
         return await self.perform_request(  # type: ignore[return-value]
             "GET",
@@ -520,7 +472,6 @@ async def ml_data_frame_analytics(
         ] = None,
         help: t.Optional[bool] = None,
         human: t.Optional[bool] = None,
-        master_timeout: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None,
         pretty: t.Optional[bool] = None,
         s: t.Optional[
             t.Union[
@@ -570,7 +521,9 @@ async def ml_data_frame_analytics(
                 ],
             ]
         ] = None,
-        time: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None,
+        time: t.Optional[
+            t.Union[str, t.Literal["d", "h", "m", "micros", "ms", "nanos", "s"]]
+        ] = None,
         v: t.Optional[bool] = None,
     ) -> t.Union[ObjectApiResponse[t.Any], TextApiResponse]:
         """
@@ -591,7 +544,6 @@ async def ml_data_frame_analytics(
         :param h: Comma-separated list of column names to display.
         :param help: When set to `true` will output available columns. This option can't
             be combined with any other query string option.
-        :param master_timeout: Period to wait for a connection to the master node.
         :param s: Comma-separated list of column names or column aliases used to sort
             the response.
         :param time: Unit used to display time values.
@@ -621,8 +573,6 @@ async def ml_data_frame_analytics(
             __query["help"] = help
         if human is not None:
             __query["human"] = human
-        if master_timeout is not None:
-            __query["master_timeout"] = master_timeout
         if pretty is not None:
             __query["pretty"] = pretty
         if s is not None:
@@ -692,7 +642,6 @@ async def ml_datafeeds(
         ] = None,
         help: t.Optional[bool] = None,
         human: t.Optional[bool] = None,
-        master_timeout: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None,
         pretty: t.Optional[bool] = None,
         s: t.Optional[
             t.Union[
@@ -763,7 +712,6 @@ async def ml_datafeeds(
         :param h: Comma-separated list of column names to display.
         :param help: When set to `true` will output available columns. This option can't
             be combined with any other query string option.
-        :param master_timeout: Period to wait for a connection to the master node.
         :param s: Comma-separated list of column names or column aliases used to sort
             the response.
         :param time: The unit used to display time values.
@@ -791,8 +739,6 @@ async def ml_datafeeds(
             __query["help"] = help
         if human is not None:
             __query["human"] = human
-        if master_timeout is not None:
-            __query["master_timeout"] = master_timeout
         if pretty is not None:
             __query["pretty"] = pretty
         if s is not None:
@@ -961,7 +907,6 @@ async def ml_jobs(
         ] = None,
         help: t.Optional[bool] = None,
         human: t.Optional[bool] = None,
-        master_timeout: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None,
         pretty: t.Optional[bool] = None,
         s: t.Optional[
             t.Union[
@@ -1129,7 +1074,6 @@ async def ml_jobs(
         :param h: Comma-separated list of column names to display.
         :param help: When set to `true` will output available columns. This option can't
             be combined with any other query string option.
-        :param master_timeout: Period to wait for a connection to the master node.
         :param s: Comma-separated list of column names or column aliases used to sort
             the response.
         :param time: The unit used to display time values.
@@ -1159,8 +1103,6 @@ async def ml_jobs(
             __query["help"] = help
         if human is not None:
             __query["human"] = human
-        if master_timeout is not None:
-            __query["master_timeout"] = master_timeout
         if pretty is not None:
             __query["pretty"] = pretty
         if s is not None:
@@ -1240,7 +1182,6 @@ async def ml_trained_models(
         ] = None,
         help: t.Optional[bool] = None,
         human: t.Optional[bool] = None,
-        master_timeout: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None,
         pretty: t.Optional[bool] = None,
         s: t.Optional[
             t.Union[
@@ -1287,6 +1228,9 @@ async def ml_trained_models(
             ]
         ] = None,
         size: t.Optional[int] = None,
+        time: t.Optional[
+            t.Union[str, t.Literal["d", "h", "m", "micros", "ms", "nanos", "s"]]
+        ] = None,
         v: t.Optional[bool] = None,
     ) -> t.Union[ObjectApiResponse[t.Any], TextApiResponse]:
         """
@@ -1312,10 +1256,10 @@ async def ml_trained_models(
         :param h: A comma-separated list of column names to display.
         :param help: When set to `true` will output available columns. This option can't
             be combined with any other query string option.
-        :param master_timeout: Period to wait for a connection to the master node.
         :param s: A comma-separated list of column names or aliases used to sort the
             response.
         :param size: The maximum number of transforms to display.
+        :param time: Unit used to display time values.
         :param v: When set to `true` will enable verbose output.
         """
         __path_parts: t.Dict[str, str]
@@ -1344,14 +1288,14 @@ async def ml_trained_models(
             __query["help"] = help
         if human is not None:
             __query["human"] = human
-        if master_timeout is not None:
-            __query["master_timeout"] = master_timeout
         if pretty is not None:
             __query["pretty"] = pretty
         if s is not None:
             __query["s"] = s
         if size is not None:
             __query["size"] = size
+        if time is not None:
+            __query["time"] = time
         if v is not None:
             __query["v"] = v
         __headers = {"accept": "text/plain,application/json"}
@@ -1460,7 +1404,6 @@ async def transforms(
         ] = None,
         help: t.Optional[bool] = None,
         human: t.Optional[bool] = None,
-        master_timeout: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None,
         pretty: t.Optional[bool] = None,
         s: t.Optional[
             t.Union[
@@ -1574,7 +1517,6 @@ async def transforms(
         :param h: Comma-separated list of column names to display.
         :param help: When set to `true` will output available columns. This option can't
             be combined with any other query string option.
-        :param master_timeout: Period to wait for a connection to the master node.
         :param s: Comma-separated list of column names or column aliases used to sort
             the response.
         :param size: The maximum number of transforms to obtain.
@@ -1605,8 +1547,6 @@ async def transforms(
             __query["help"] = help
         if human is not None:
             __query["human"] = human
-        if master_timeout is not None:
-            __query["master_timeout"] = master_timeout
         if pretty is not None:
             __query["pretty"] = pretty
         if s is not None:

elasticsearch_serverless/_async/client/eql.py

@@ -167,6 +167,8 @@ async def get_status(
     @_rewrite_parameters(
         body_fields=(
             "query",
+            "allow_partial_search_results",
+            "allow_partial_sequence_results",
             "case_sensitive",
             "event_category_field",
             "fetch_size",
@@ -189,6 +191,8 @@ async def search(
         index: t.Union[str, t.Sequence[str]],
         query: t.Optional[str] = None,
         allow_no_indices: t.Optional[bool] = None,
+        allow_partial_search_results: t.Optional[bool] = None,
+        allow_partial_sequence_results: t.Optional[bool] = None,
         case_sensitive: t.Optional[bool] = None,
         error_trace: t.Optional[bool] = None,
         event_category_field: t.Optional[str] = None,
@@ -234,6 +238,8 @@ async def search(
         :param index: The name of the index to scope the operation
         :param query: EQL query you wish to run.
         :param allow_no_indices:
+        :param allow_partial_search_results:
+        :param allow_partial_sequence_results:
         :param case_sensitive:
         :param event_category_field: Field containing the event classification, such
             as process, file, or network.
@@ -287,6 +293,12 @@ async def search(
         if not __body:
             if query is not None:
                 __body["query"] = query
+            if allow_partial_search_results is not None:
+                __body["allow_partial_search_results"] = allow_partial_search_results
+            if allow_partial_sequence_results is not None:
+                __body["allow_partial_sequence_results"] = (
+                    allow_partial_sequence_results
+                )
             if case_sensitive is not None:
                 __body["case_sensitive"] = case_sensitive
             if event_category_field is not None:

elasticsearch_serverless/_async/client/inference.py

@@ -255,7 +255,21 @@ async def put(
         pretty: t.Optional[bool] = None,
     ) -> ObjectApiResponse[t.Any]:
         """
-        Create an inference endpoint
+        Create an inference endpoint. When you create an inference endpoint, the associated
+        machine learning model is automatically deployed if it is not already running.
+        After creating the endpoint, wait for the model deployment to complete before
+        using it. To verify the deployment status, use the get trained model statistics
+        API. Look for `"state": "fully_allocated"` in the response and ensure that the
+        `"allocation_count"` matches the `"target_allocation_count"`. Avoid creating
+        multiple endpoints for the same model unless required, as each endpoint consumes
+        significant resources. IMPORTANT: The inference APIs enable you to use certain
+        services, such as built-in machine learning models (ELSER, E5), models uploaded
+        through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google
+        Vertex AI, Anthropic, Watsonx.ai, or Hugging Face. For built-in models and models
+        uploaded through Eland, the inference APIs offer an alternative way to use and
+        manage trained models. However, if you do not plan to use the inference APIs
+        to use these models or if you want to use non-NLP models, use the machine learning
+        trained model APIs.
 
         `<https://www.elastic.co/guide/en/elasticsearch/reference/master/put-inference-api.html>`_
 

elasticsearch_serverless/_async/client/logstash.py

@@ -36,11 +36,12 @@ async def delete_pipeline(
         pretty: t.Optional[bool] = None,
     ) -> ObjectApiResponse[t.Any]:
         """
-        Deletes a pipeline used for Logstash Central Management.
+        Delete a Logstash pipeline. Delete a pipeline that is used for Logstash Central
+        Management.
 
         `<https://www.elastic.co/guide/en/elasticsearch/reference/master/logstash-api-delete-pipeline.html>`_
 
-        :param id: Identifier for the pipeline.
+        :param id: An identifier for the pipeline.
         """
         if id in SKIP_IN_PATH:
             raise ValueError("Empty value passed for parameter 'id'")
@@ -76,11 +77,11 @@ async def get_pipeline(
         pretty: t.Optional[bool] = None,
     ) -> ObjectApiResponse[t.Any]:
         """
-        Retrieves pipelines used for Logstash Central Management.
+        Get Logstash pipelines. Get pipelines that are used for Logstash Central Management.
 
         `<https://www.elastic.co/guide/en/elasticsearch/reference/master/logstash-api-get-pipeline.html>`_
 
-        :param id: Comma-separated list of pipeline identifiers.
+        :param id: A comma-separated list of pipeline identifiers.
         """
         __path_parts: t.Dict[str, str]
         if id not in SKIP_IN_PATH:
@@ -123,11 +124,12 @@ async def put_pipeline(
         pretty: t.Optional[bool] = None,
     ) -> ObjectApiResponse[t.Any]:
         """
-        Creates or updates a pipeline used for Logstash Central Management.
+        Create or update a Logstash pipeline. Create a pipeline that is used for Logstash
+        Central Management. If the specified pipeline exists, it is replaced.
 
         `<https://www.elastic.co/guide/en/elasticsearch/reference/master/logstash-api-put-pipeline.html>`_
 
-        :param id: Identifier for the pipeline.
+        :param id: An identifier for the pipeline.
         :param pipeline:
         """
         if id in SKIP_IN_PATH:

elasticsearch_serverless/_async/client/search_application.py

@@ -216,7 +216,7 @@ async def list(
         size: t.Optional[int] = None,
     ) -> ObjectApiResponse[t.Any]:
         """
-        Returns the existing search applications.
+        Get search applications. Get information about search applications.
 
         `<https://www.elastic.co/guide/en/elasticsearch/reference/master/list-search-applications.html>`_
 

elasticsearch_serverless/_async/client/tasks.py

@@ -45,8 +45,7 @@ async def get(
         wait_for_completion: t.Optional[bool] = None,
     ) -> ObjectApiResponse[t.Any]:
         """
-        Get task information. Returns information about the tasks currently executing
-        in the cluster.
+        Get task information. Get information about a task currently running in the cluster.
 
         `<https://www.elastic.co/guide/en/elasticsearch/reference/master/tasks.html>`_